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Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
Physics-Inspired GNNs such as GRAFF provided a significant contribution to enhance node classification performance under heterophily, thanks to the adoption of physics biases in the message-passing.
GATSY: Graph Attention Network for Music Artist Similarity
The artist similarity quest has become a crucial subject in social and scientific contexts.
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